HealthMate: Your Personal Medical Advisor

• Tech Stack: Python, Llama 2, Chainlit, Faiss, Sentence Transformers
• Github URL: Project Link

Developed an intelligent Medical Chatbot using the Llama 2 model (quantized version) to provide users with personalized medical information and responses. The system uses Sentence Transformers to embed medical queries and Faiss for efficient vector storage and similarity search.

Integrated the Chainlit library to create an interactive conversational interface, allowing the chatbot to respond to user queries effectively. The Llama 2 model, fine-tuned for medical purposes, helps generate accurate responses based on real-time user input.

The chatbot efficiently retrieves the most relevant medical queries from a large dataset and provides personalized responses by utilizing advanced NLP techniques. The quantized version of Llama 2 was chosen for its performance optimization, especially for CPU-based systems.

This project demonstrates the power of open-source technologies for building sophisticated AI-driven chatbots, offering valuable assistance in the medical domain.